Sift Science vs Trench
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Sift Science catches fraud by using large-scale machine learning to identify those patterns automatically. | It is an open source fraud prevention for marketplaces. It is the backbone for your fraud system, bringing all of your data and processes into one place. |
Reduce manual reviews & chargebacks;Detect Fraud Automatically in Real-Time;Distill Patterns From Data;Billing & Shipping Address Mismatch;Device Fingerprint;Travel Velocity | Review sellers by KYC/KYB and by buyer history;
Set transaction limits for buyers and sellers;
Automatically assess payments based on buyer and seller data;
Integrate directly with Stripe Payments, Identity, and Connect |
Statistics | |
GitHub Stars - | GitHub Stars 212 |
GitHub Forks - | GitHub Forks 19 |
Stacks 14 | Stacks 0 |
Followers 15 | Followers 4 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
What are some alternatives to Sift Science, Trench?
Tirreno
Open security analytics. Understand, monitor, and protect your product from cyber threats, account takeovers, fake accounts, and abuse.
ThisData
We use behavioral patterns to build an identity profile for each user. This provides your app with a second factor of authentication that doesn't add friction to the user experience, or even require the user to opt-in.
Preventor.io
It is the next generation self-service digital identity and fraud prevention collaborative platform for individuals, businesses, and governments.
